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基于有限元法的振动求解，在matlab 平台(matlab vibration FEM)

斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。(The notes of Machine learning courses in Stanford University。)

making jacobian matrix power system

describe estimate geomatric transfare

对运动目标的跟踪和检测，并做出相应的分析(The goal of the movement track and testing And makes the corresponding analysis )

说明：  校园导航 校园导航的c程序 希望能帮助到大家!(school point)

介绍了机械设计中常用的一些模型、计算方法及matlab代码(Describes some of the models commonly used in mechanical design, calculation methods and matlab code)

由于卫星与用户接收机二者的连线方向上存在相对运动，因此引起了载波和伪码的多普勒效应，再加上接收机晶体震荡频率漂移和卫星时钟频漂等原因。接收机实际接收到的卫星载波中心频率一般不再等于信号被发射时的标称频率，这就需要接收机在载波频率一维对信号进行搜索。同时，由于卫星到接收机的距离时刻变化，加上接收机始终相对于GPS时间的偏差又并不固定，因而接收信号的伪码相位值也在改变，所以接收机也要在码相位一维对信号进行搜索。扩频信号的捕获是一个对目标信号频率域和相位域进行的二维搜索过程。(Because of the relative motion between the two of the satellite and the user receiver, the Doppler effect of the carrier and pseudo-code is caused, and the frequency drift of the oscillation of the receiver crystal and the frequency drift of the satellite clock are added. The frequency of the satellite carrier center that the receiver actually receives is generally no longer equal to the nominal frequency of the signal being transmitted, which requires the receiver to search the signal in one dimension of the carrier frequency. At the same time, because the distance between the satellite to the receiver is changed, the deviation of the receiver always relative to the GPS time is not fixed, so the pseudo code phase value of the received signal is also changing, so the receiver also searches for the signal in the code phase. The acquisition of spread spectrum signal is a two-dimensional search process for the frequency domain and phase domain of the target signal)

this file help to extract feature and then apply vector quantization to minimize the data

自己编的一个用随机行走法实现电路计算的例子，电路图及参数均在Partial random walk for large linear network analysis里(Own a random walk method used to achieve circuit examples, circuit diagrams and parameters in the Partial random walk for large linear network analysis in)